Category: Maestro

Maestro: Design Solution - Results (ChatGPT 3.5)

ChatGPT 3.5

Design Report Card

Technical Report Card

The Product

A mobile app to catalog, categorize and track the location of cleaning products. The MVP allows the user to scan barcodes to add items to the catalog and to access products by usage and type using filters. The app has a mobile friendly interface and single sign on user authentication.

Design Prompt

I want you to act as a product designer. I will present a product idea. You will identify functional requirements, write user stories which include a statement of customer value and acceptance criteria.

Notes

  • Accurately fulfilled request
  • User stories were complete
  • Suggested location tracking

Response

Functional Requirements

Great! Let’s break down the functional requirements based on your product idea:

  1. Barcode Scanning: Users should be able to scan the barcodes of cleaning products to add them to their catalog.
  2. Catalog Management: Users should be able to view, add, edit, and delete cleaning products from their catalog.
  3. Categorization: Users should be able to categorize cleaning products by type (e.g., bathroom cleaner, kitchen cleaner, laundry detergent).
  4. Location Tracking: Users should be able to track the location of their cleaning products, such as which room or area they are stored in.
  5. Filtering and Sorting: Users should be able to filter and sort their catalog of cleaning products based on usage (e.g., daily, weekly, monthly) and type.
  6. Mobile-Friendly Interface: The app should have a responsive design optimized for mobile devices to ensure usability on various screen sizes.
  7. Single Sign-On (SSO) Authentication: Users should be able to log in using a single set of credentials, which can be integrated with existing authentication systems like Google, Facebook, or email/password.

User Stories

As a user, I want to be able to scan the barcode of a cleaning product so that I can easily add it to my catalog without manual entry.

Customer Value:

  • Saves time and effort by automating the process of adding products to the catalog. Acceptance Criteria:
  • The app accurately retrieves product information from the barcode scan and adds it to the catalog with the correct details.

As a user, I want to categorize cleaning products by type (e.g., bathroom cleaner, kitchen cleaner) for better organization.

Customer Value:

  • Helps users quickly locate specific types of cleaning products when needed. Acceptance Criteria:
  • Users can assign a category to each cleaning product and filter their catalog by category.

As a user, I want to track the location of my cleaning products so that I can easily find them when needed.

  • Customer Value: Prevents wastage of time searching for cleaning products by knowing exactly where they are stored.
  • Acceptance Criteria: Users can input and update the location of each cleaning product in their catalog.

As a user, I want to filter and sort my catalog of cleaning products by usage frequency (e.g., daily, weekly, monthly) and type for easier access.

  • Customer Value: Facilitates efficient management of cleaning supplies based on frequency of use and type.
  • Acceptance Criteria: Users can apply filters and sorting options to their catalog based on usage frequency and type.

As a user, I want the app interface to be mobile-friendly, ensuring smooth usability across different devices.

  • Customer Value: Provides a seamless experience regardless of the device used, enhancing accessibility.
  • Acceptance Criteria: The app’s interface adapts responsively to different screen sizes and orientations.

As a user, I want to log in using single sign-on authentication for convenience and security.

Customer Value:

  • Simplifies the login process and ensures secure access to the app. Acceptance Criteria:
  • Users can authenticate using a single set of credentials, integrated with existing authentication systems.

Technical Prompt

I want you to act as a software architect. I will present a product idea. You will provide a solution for: Client/server side tech stack; How to gather metrics and feedback; What AI coding tools will we use; How will we host the application.

Notes

  • Suggested older technology, Xamarin, instead of .NET MAUI
  • Suggested options for all points
  • Options presented were standard

Response

Tech Stack & Tools

Client-side Tech Stack:

  • Mobile App Development: Utilize Xamarin for building the mobile app. Xamarin allows you to develop cross-platform apps using C# and .NET, with native performance and UI.
  • UI/UX Design: You can use tools like Adobe XD or Sketch for designing the user interface, ensuring it’s mobile-friendly and intuitive.
  • Barcode Scanning: Integrate the ZXing.Net library for barcode scanning capabilities within the Xamarin app.

Server-side Tech Stack:

  • Backend Framework: Utilize ASP.NET Core for building the server-side logic. ASP.NET Core is a modern and cross-platform framework for developing web APIs and microservices using C#.
  • Database: Use Azure SQL Database for storing the catalog of cleaning products and related information. Azure SQL Database offers high performance, scalability, and built-in security features.
  • Authentication: Implement Azure Active Directory (AAD) for user authentication and Single Sign-On (SSO) functionality. AAD provides secure and seamless authentication for your app users.

Metrics and Feedback Gathering:

  • Analytics Tools: Integrate Azure Application Insights for monitoring and gathering analytics data about app usage, performance, and user behavior. Application Insights provides deep insights into app performance and helps in identifying issues quickly.
  • Feedback Mechanism: Implement Azure Feedback Hub for collecting user feedback and bug reports directly from the app. Azure Feedback Hub allows users to provide feedback seamlessly within the app, which can be monitored and addressed by the development team.

AI Coding Tools:

  • Azure Cognitive Services: Utilize Azure Cognitive Services for various AI capabilities such as Natural Language Processing (NLP) for analyzing user feedback, sentiment analysis, and language understanding. You can use services like Text Analytics and Language Understanding (LUIS) for these purposes.

Hosting the Application:

  • Cloud Hosting: Host the backend server on Microsoft Azure using Azure App Service. Azure App Service provides a fully managed platform for hosting web APIs and ensures scalability, reliability, and easy deployment.
  • Containerization: Containerize the application using Azure Kubernetes Service (AKS) for orchestrating and managing containerized applications. AKS simplifies the deployment and management of containers while providing scalability and high availability.
  • Continuous Integration/Continuous Deployment (CI/CD): Implement CI/CD pipelines using Azure DevOps for automating the build, testing, and deployment process. Azure DevOps provides a comprehensive set of tools for source control, build automation, testing, and release management.

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